Graph Classification Task

A Graph Classification Task is a classification task that requires a graph as its task input.

• Context:
• Counter-Example(s):
  • a Graph Clustering Task.
  • a Graph Regression Task.
  • a Graph Node Classification Task.
  • a Graph Edge Classification Task.
• See: Subgraph Classification, Graph Classification Algorithm.

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References

2010

• (Aggarwal & Wang, 2010) ⇒ Charu C. Aggarwal, and Haixun Wang. (2010b). "Graph Data Management and Mining: A Survey of Algorithms and Applications." In: (Aggarwal & Wang, 2010a) doi:10.1007/978-1-4419-6045-0_2
  • Graph classification. A subset of graphs in a graph dataset are labeled. The task is to learn a model from the labeled graphs and use the model to classify the unlabeled graphs.

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